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1909.00161
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Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
31 August 2019
Wenpeng Yin
Jamaal Hay
Dan Roth
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Papers citing
"Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach"
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Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
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Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition
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Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
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Few-Shot Stance Detection via Target-Aware Prompt Distillation
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Jinhua Gao
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Xueqi Cheng
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Template-based Approach to Zero-shot Intent Recognition
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Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context
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Evaluating and Inducing Personality in Pre-trained Language Models
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Unified Semantic Typing with Meaningful Label Inference
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Improving In-Context Few-Shot Learning via Self-Supervised Training
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68
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Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
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Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
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Polyglot Prompt: Multilingual Multitask PrompTraining
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Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
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Estimating the Personality of White-Box Language Models
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Zero and Few-shot Learning for Author Profiling
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Gretel Liz De la Pena Sarracén
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Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
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Guillermo Pérez-Torró
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A Personalized Dialogue Generator with Implicit User Persona Detection
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32
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Few-Shot Learning with Siamese Networks and Label Tuning
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How Many Data Samples is an Additional Instruction Worth?
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Logical Fallacy Detection
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Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference
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Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification
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